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浏览/检索结果: 共3条，第1-3条 帮助 限定条件 专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 拉曼光谱数据处理与定性分析技术研究 学位论文 博士: 中国科学院大学, 2014 姜承志 收藏  |  浏览/下载：347/0  |  提交时间：2014/08/21 A New Peak Detection Algorithm of Raman Spectra 期刊论文 Spectroscopy and Spectral Analysis, 2014, 卷号: 34, 期号: 1, 页码: 103-107 Jiang C. Z.; Sun Q.; Liu Y.; Liang J. Q.; An Y.; Liu B. 收藏  |  浏览/下载：16/0  |  提交时间：2015/04/24 Directional multiscale edge detection using the contourlet transform (EI CONFERENCE) 会议论文 2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Ma S.-F.; Zheng G.-F.; Jin L.-X.; Han S.-L.; Zhang R.-F. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 Wavelet multiresolution analysis allows us to detect edges at different scales  also to obtain other important aspects of the extracted edges. However  due to the usual two-dimensional tensor product  wavelet transform is not optimal for representing images. The main problem in edge detection using wavelet transform is that it can only capture point-singularities  and the extracted edges are not continuous. In order to solve that problem  we propose a new image edge detection method based on the contourlet transform. The directional multiresolution representation Contourlet takes advantages of the intrinsic geometrical structure of images  and is appropriate for the analysis of the image edges. Using the modulus maxima detection  an image edge detection method based on contourlet transform is proposed. To suppress the image noise effect on edge detection  the scale multiplication in contourlet domain is also proposed. Through real images experiments  the proposed edge detection method's performance for the extracted edges is analyzed and compared with other two edge detection methods. The experiment result proves that the proposed edge detection method improves over wavelet-based techniques and Canny detector  and also works well for noisy images. 2010 IEEE.